Skip to content

yangxiujun / paidan_demo

Go to a project
Commit 8c25ca0b by chamberone
Options

feat: 代码重构，添加评分等工具

1 parent 430eddf7
Expand all
Inline Side-by-side
Showing with 288 additions and 53 deletions
project-dispatch/src/main/java/com/dituhui/pea/dispatch/constraint/ConstraintNameEnum.java 0 → 100644
package com.dituhui.pea.dispatch.constraint;
/**
* 约束枚举
*
* @author zhangguoping
*
*/
public enum ConstraintNameEnum {
// 硬约束
/**
* 技术员技能跟订单相匹配
*/
skillMatch,
/**
* 技术员到达时间跟时间窗吻合
*/
customerTimeWindowsMatch,
// 软约束
/**
* 订单数量均衡
*/
technicianBalanceSoft,
/**
* 总路程最小
*/
totalDistance,
/**
* 技术员中心点偏好
*/
preferredTotalDistance
}
project-dispatch/src/main/java/com/dituhui/pea/dispatch/constraint/DispatchConstraintProvider.java
......@@ -12,38 +12,53 @@ public class DispatchConstraintProvider implements ConstraintProvider {
@Override
public Constraint[] defineConstraints(ConstraintFactory factory) {
return new Constraint[] { greaterThanZero(factory), customerTimeWindowsMatch1(factory),
customerTimeWindowsMatch2(factory), skillMatch(factory), technicianBalance(factory),
technicianBalance2(factory), technicianBalanceSoft(factory), totalDistance(factory),
preferredTotalDistance(factory) };
return new Constraint[] {
// 硬约束
// 运行时长提升效果
// 5s/60s: 技能权重4-技能匹配问题0个，时间窗问题14个
// 10s/300s: 技能权重4-技能匹配问题0个，时间窗问题9个
customerTimeWindowsMatch(factory),
skillMatch(factory),
// 软约束
technicianBalanceSoft(factory),
totalDistance(factory),
preferredTotalDistance(factory)
};
}
// ************************************************************************
// Hard constraints
// ************************************************************************
// 1,每个技术员至少分配一个greaterThanZero
// 2,技术员到达时间跟时间窗吻合customerTimeWindowsMatch
// 3,技术员时间窗吻合technicianTimeWindowsMatch
// 4,技术员技能跟订单相匹配skillMatch
// 5,订单均分technicianBalance
// 1,技术员到达时间跟时间窗吻合customerTimeWindowsMatch
// 2,技术员时间窗吻合technicianTimeWindowsMatch
// 3,技术员技能跟订单相匹配skillMatch
public Constraint greaterThanZero(ConstraintFactory factory) {
return factory.forEach(Technician.class).filter(technician -> technician.getCustomerList().size() == 0)
.penalizeLong(HardSoftLongScore.ONE_HARD, technician -> 1).asConstraint("每个技术员至少分配一个单子");
}
protected Constraint customerTimeWindowsMatch1(ConstraintFactory factory) {
protected Constraint customerTimeWindowsMatch(ConstraintFactory factory) {
return factory.forEach(Customer.class).filter(
customer -> customer.getTechnician() != null && customer.getArrivalTime() > customer.getEndTime())
.penalizeLong(HardSoftLongScore.ONE_HARD, customer -> 1).asConstraint("技术员到达时间跟时间窗吻合1");
.penalizeLong(HardSoftLongScore.ONE_HARD,
// 迟到每2小时扣一分
customer -> (long) Math.ceil((customer.getArrivalTime() - customer.getEndTime()) / 120F))
.asConstraint(ConstraintNameEnum.customerTimeWindowsMatch.name());
}
protected Constraint customerTimeWindowsMatch2(ConstraintFactory factory) {
// 迟到2小时惩罚
return factory.forEach(Customer.class).filter(
customer -> customer.getTechnician() != null && customer.getArrivalTime() > customer.getEndTime() + 120)
.penalizeLong(HardSoftLongScore.ONE_HARD, customer -> 1).asConstraint("技术员到达时间跟时间窗吻合2");
}
// protected Constraint customerTimeWindowsMatch1(ConstraintFactory factory) {
// return factory.forEach(Customer.class).filter(
// customer -> customer.getTechnician() != null && customer.getArrivalTime() > customer.getEndTime())
// .penalizeLong(HardSoftLongScore.ONE_HARD, customer -> 1).asConstraint("技术员到达时间跟时间窗吻合1");
// }
//
// protected Constraint customerTimeWindowsMatch2(ConstraintFactory factory) {
// // 迟到2小时惩罚
// return factory.forEach(Customer.class).filter(
// customer -> customer.getTechnician() != null && customer.getArrivalTime() > customer.getEndTime() + 120)
// .penalizeLong(HardSoftLongScore.ONE_HARD, customer -> 1).asConstraint("技术员到达时间跟时间窗吻合2");
// }
protected Constraint skillMatch(ConstraintFactory factory) {
return factory.forEach(Customer.class)
......@@ -54,38 +69,21 @@ public class DispatchConstraintProvider implements ConstraintProvider {
// 3-技能匹配问题1个，时间窗问题8个
// 4-技能匹配问题0个，时间窗问题14个
customer -> 4)
.asConstraint("技术员技能跟订单相匹配skillMatch");
}
protected Constraint technicianBalance(ConstraintFactory factory) {
// 会导致剩余单子集中？
return factory.forEach(Technician.class).filter(technician -> technician.getOffWorkTime() > 1140)
.penalizeLong(HardSoftLongScore.ONE_HARD,
technician -> (long) Math.ceil(technician.getOffWorkTime() / 1440f))
.asConstraint("订单均分");
}
protected Constraint technicianBalance2(ConstraintFactory factory) {
// 单量不能过少 FIXME
return factory.forEach(Technician.class).filter(technician -> technician.getOffWorkTime() <= 960)
.penalizeLong(HardSoftLongScore.ONE_HARD, technician -> 1).asConstraint("订单均分2");
.asConstraint(ConstraintNameEnum.skillMatch.name());
}
// protected Constraint technicianBalance(ConstraintFactory factory) {
// return factory.forEachUniquePair(Technician.class, Joiners.filtering(
// // 一个人的工作时长超过另外一个人的2倍 FIXME 无效
// (t1, t2) -> (t1.getWorkTime() > t2.getWorkTime() * 2) || (t2.getWorkTime() > t1.getWorkTime() * 2)))
// .penalizeLong(HardSoftLongScore.ONE_HARD, (c1, c2) -> 1).asConstraint("订单均分");
// // 会导致剩余单子集中？
// return factory.forEach(Technician.class).filter(technician -> technician.getOffWorkTime() > 1140)
// .penalizeLong(HardSoftLongScore.ONE_HARD,
// technician -> (long) Math.ceil(technician.getOffWorkTime() / 1440f))
// .asConstraint("订单均分");
// }
// protected Constraint technicianBalance(ConstraintFactory factory) {
// return factory.forEachUniquePair(Technician.class, Joiners.filtering(
// // 一个人的数量是另外一个人的3倍 FIXME 无效
// (t1, t2) -> {
// int size1 = t1.getCustomerSize();
// int size2 = t2.getCustomerSize();
// return (size1 > size2 * 3) || (size2 > size1 * 3);
// })).penalizeLong(HardSoftLongScore.ONE_HARD, (c1, c2) -> 1).asConstraint("订单均分");
//
// protected Constraint technicianBalance2(ConstraintFactory factory) {
// // 单量不能过少 FIXME
// return factory.forEach(Technician.class).filter(technician -> technician.getOffWorkTime() <= 960)
// .penalizeLong(HardSoftLongScore.ONE_HARD, technician -> 1).asConstraint("订单均分2");
// }
// ************************************************************************
......@@ -97,19 +95,21 @@ public class DispatchConstraintProvider implements ConstraintProvider {
protected Constraint totalDistance(ConstraintFactory factory) {
return factory.forEach(Technician.class)
.penalizeLong(HardSoftLongScore.ONE_SOFT, Technician::getTotalDistanceMeters).asConstraint("总路程最小");
.penalizeLong(HardSoftLongScore.ONE_SOFT, Technician::getTotalDistanceMeters)
.asConstraint(ConstraintNameEnum.totalDistance.name());
}
protected Constraint preferredTotalDistance(ConstraintFactory factory) {
return factory.forEach(Technician.class)
.penalizeLong(HardSoftLongScore.ONE_SOFT, Technician::getPreferredTotalDistanceMeters)
.asConstraint("技术员中心点偏好");
.asConstraint(ConstraintNameEnum.preferredTotalDistance.name());
}
protected Constraint technicianBalanceSoft(ConstraintFactory factory) {
return factory.forEachUniquePair(Technician.class).penalizeLong(HardSoftLongScore.ONE_SOFT,
// 权重需要调节，差距一个相当于多一公里 FIXME 这里应该是时长均衡，不是订单量均衡
(a, b) -> Math.abs(a.getCustomerSize() - b.getCustomerSize()) * 1000).asConstraint("订单均分soft");
(a, b) -> Math.abs(a.getCustomerSize() - b.getCustomerSize()) * 1000)
.asConstraint(ConstraintNameEnum.technicianBalanceSoft.name());
}
}
project-dispatch/src/main/java/com/dituhui/pea/dispatch/eventListener/DispatchSolverEventListener.java 0 → 100644
package com.dituhui.pea.dispatch.eventListener;
import org.optaplanner.core.api.solver.event.BestSolutionChangedEvent;
import com.dituhui.pea.dispatch.pojo.DispatchSolution;
public class DispatchSolverEventListener implements org.optaplanner.core.api.solver.event.SolverEventListener<DispatchSolution> {
@Override
public void bestSolutionChanged(BestSolutionChangedEvent<DispatchSolution> event) {
// TODO Auto-generated method stub
}
}
project-dispatch/src/main/java/com/dituhui/pea/dispatch/pojo/Location.java
......@@ -13,6 +13,11 @@ import lombok.Setter;
public class Location {
private final long id;
// 坐标点
private float x;
private float y;
@JsonIgnore
private Map<Location, Long> distanceMap= new HashMap<Location, Long>();// 路网距离矩阵
@JsonIgnore
......@@ -22,6 +27,12 @@ public class Location {
this.id = id;
}
public Location(long id, float x, float y) {
this.id = id;
this.x = x;
this.y = y;
}
/**
* Set the distance map. Distances are in meters.
*
......
project-dispatch/src/main/java/com/dituhui/pea/dispatch/pojo/Technician.java
......@@ -34,8 +34,8 @@ public class Technician {
private Set<String> skills;
// 偏好坐标
// private Location preferredlocation;
// teck code : customer code , distance
private Location preferredlocation;
// technician code : customer code , distance
@JsonIgnore
private Map<String, Long> preferredlocationDistanceMap = new HashMap<String, Long>();
......@@ -46,7 +46,7 @@ public class Technician {
}
public Technician(long id, String code, Depot depot, int startTime, int endTime, Set<String> skills,
Map<String, Long> preferredlocationDistanceMap) {
Map<String, Long> preferredlocationDistanceMap, Location preferredlocation) {
this.id = id;
this.code = code;
this.depot = depot;
......@@ -54,6 +54,7 @@ public class Technician {
this.endTime = endTime;
this.skills = skills;
this.preferredlocationDistanceMap = preferredlocationDistanceMap;
this.preferredlocation = preferredlocation;
}
// ************************************************************************
......@@ -152,8 +153,6 @@ public class Technician {
}
}
@Override
public int hashCode() {
return Long.valueOf(this.id).hashCode();
......
project-dispatch/src/main/resources/data/customerIndexXY.csv 0 → 100644
depot,"120.614853,31.338807"
106330400,"120.982906,31.440902"
106632743,"120.726916,31.592422"
106632993,"120.868246,31.041383"
106704506,"120.625144,31.257837"
106729637,"120.959821,31.402083"
106732179,"121.077572,31.563578"
106737923,"120.622214,31.333417"
106758769,"120.731802,31.300809"
106765790,"120.847507,31.42479"
106790276,"120.606255,31.268432"
106798348,"120.959821,31.402083"
106845767,"120.687214,31.253326"
106848936,"120.679366,31.287809"
106854117,"120.664649,31.316367"
106855369,"120.616312,31.385716"
106865528,"120.623197,31.470323"
106867266,"120.597917,31.348755"
106879505,"120.765083,31.697774"
106882180,"120.664487,31.282887"
106893582,"121.107535,31.479541"
106228451,"120.721813,31.303003"
106660472,"120.611127,31.250817"
106684680,"120.626474,31.224566"
106703025,"120.530752,31.281024"
106762173,"120.606634,31.292016"
106802404,"120.654614,31.098804"
106820041,"120.719909,31.382979"
106820735,"120.58446,31.322863"
106824266,"120.697424,31.344814"
106828070,"120.596177,31.283586"
106833813,"120.523634,31.858481"
106835282,"121.039728,31.400563"
106853363,"121.104428,31.453363"
106856986,"120.745434,31.304664"
106861402,"120.785598,31.097726"
106863823,"120.966152,31.389332"
106870737,"120.612394,31.194301"
106870765,"120.451477,31.938889"
106871040,"120.686309,31.327041"
106872591,"120.591992,31.292224"
106872658,"120.768159,31.337805"
106875426,"120.64272,31.277918"
106890613,"120.526677,31.863775"
106893208,"120.748525,31.324368"
106279591,"120.982906,31.440902"
106704564,"120.625144,31.257837"
106729640,"120.959821,31.402083"
106732181,"121.077572,31.563578"
106738036,"120.622214,31.333417"
106758988,"120.731802,31.300809"
106765761,"120.847507,31.42479"
106818668,"120.493618,31.24607"
106823211,"120.651719,31.278747"
106824512,"120.754292,31.337413"
106836405,"120.665415,31.32013"
106841840,"120.615365,31.186788"
106851428,"120.98225,31.417492"
106852112,"120.654228,31.337012"
106853178,"120.632811,31.173964"
106854359,"120.84248,31.284855"
106855674,"120.743073,31.677162"
106856390,"120.655769,31.393115"
106859149,"120.724624,31.487646"
106859862,"120.549426,31.376686"
106860870,"120.748602,31.317585"
106862449,"120.777722,31.636159"
106865892,"120.664487,31.282887"
106866730,"120.606376,31.391923"
106868422,"120.702768,31.333509"
106870053,"120.732045,31.30597"
106873767,"120.964531,31.349257"
106873992,"120.574297,31.321478"
106876557,"120.721418,31.487407"
106876682,"121.088316,31.5656"
106881724,"120.601868,31.148427"
106883231,"121.120276,31.465135"
106883391,"120.861145,31.080919"
106888947,"120.628533,31.368943"
106889389,"120.680358,31.325299"
106893581,"121.107535,31.479541"
106776742,"120.70851,31.248646"
106820178,"120.678376,31.149701"
106826035,"120.49468,31.996066"
106835053,"120.600039,31.295101"
106839639,"120.883187,31.287842"
106840295,"120.526884,31.373801"
106848186,"121.135103,31.441649"
106869743,"120.938132,31.396139"
106871570,"120.634245,31.188141"
106871918,"120.64205,31.296388"
106872059,"120.589301,31.3104"
106874727,"120.748439,31.684466"
106879292,"120.715751,31.29945"
106881156,"120.566187,31.855965"
106884799,"120.605229,31.394392"
106886425,"120.548647,31.842596"
106890832,"120.604399,31.349966"
106576847,"121.106111,31.480717"
106704602,"120.625144,31.257837"
106729639,"120.959821,31.402083"
106732180,"121.077572,31.563578"
106738035,"120.622214,31.333417"
106853161,"120.632811,31.173964"
106855710,"120.743073,31.677162"
106856389,"120.655769,31.393115"
106859148,"120.724624,31.487646"
106860869,"120.748602,31.317585"
106862447,"120.777722,31.636159"
106866729,"120.606376,31.391923"
106868053,"120.606634,31.292016"
106888946,"120.628533,31.368943"
106854169,"120.634382,31.374593"
106870713,"120.633518,31.153463"
106891293,"120.636053,31.289328"
106549827,"121.144142,31.422735"
106765447,"120.616316,31.402105"
106781641,"120.606019,31.398212"
106793056,"120.747643,31.310646"
106803268,"120.607062,31.398126"
106818600,"121.144926,31.461553"
106822716,"120.705113,31.257879"
106829323,"120.673489,31.297058"
106840366,"120.649177,31.303238"
106847687,"120.530373,31.853617"
106866881,"120.629969,31.270552"
106870492,"120.650458,31.225728"
106871200,"120.59747,31.285217"
106872822,"120.616482,31.402948"
106878500,"120.606019,31.398212"
106880124,"120.615837,31.316617"
106880969,"120.677186,31.149534"
106892125,"120.587065,31.283529"
106763043,"120.687676,31.443469"
106801344,"120.69381,31.304455"
106806874,"120.650618,31.176803"
106824742,"120.77035,31.312694"
106858813,"120.769821,31.342065"
106870383,"120.624333,31.361689"
106632622,"120.726916,31.592422"
106744960,"121.077777,31.560303"
106809648,"120.956653,31.459789"
106862554,"120.685176,31.471252"
106649991,"120.632112,31.286827"
106753590,"120.597212,31.294007"
106845946,"120.747488,31.340815"
106859379,"120.756575,31.336275"
106632543,"120.726916,31.592422"
106632849,"120.726916,31.592422"
106665842,"120.64402,31.77468"
106730931,"120.639926,31.306425"
106744959,"121.077777,31.560303"
106809662,"120.956653,31.459789"
106813589,"120.844551,31.013903"
106862553,"120.685176,31.471252"
106871868,"120.686193,31.327165"
106879520,"120.614752,31.309742"
106694001,"120.632112,31.286827"
106828628,"120.77099,31.682885"
106834398,"120.761397,31.311754"
106886055,"120.598933,31.297181"
106665727,"120.64402,31.77468"
106665740,"120.64402,31.77468"
106704534,"120.625144,31.257837"
106809681,"120.956653,31.459789"
106862552,"120.685176,31.471252"
106884214,"120.620985,31.129614"
106884485,"120.485939,31.334295"
106885700,"120.727943,31.254621"
106887147,"120.790707,31.683097"
106754377,"120.639734,31.32923"
106775190,"120.612111,31.189908"
106849556,"120.605103,31.296943"
106867319,"120.696831,31.275636"
106888973,"120.898629,31.749332"
106889146,"120.60652,31.404533"
Markdown is supported
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!